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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/01/04 15:31:39 UTC
[jira] [Reopened] (SPARK-11498) TreeNodeException under very
special condition
[ https://issues.apache.org/jira/browse/SPARK-11498?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen reopened SPARK-11498:
-------------------------------
> TreeNodeException under very special condition
> ----------------------------------------------
>
> Key: SPARK-11498
> URL: https://issues.apache.org/jira/browse/SPARK-11498
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.1
> Environment: spark 1.5.1 (official binary distribution) running on hadoop yarn 2.6 with parquet 1.5.0 (both from cdh5.4.8)
> Reporter: Antony Mayi
>
> {code:title=/tmp/bug.py}
> from pyspark import SparkContext
> from pyspark.sql import SQLContext, Row
> sc = SparkContext()
> sqlc = SQLContext(sc)
> R = Row('id', 'foo')
> r = sqlc.createDataFrame(sc.parallelize([R('abc', 'foo')]))
> q = sqlc.createDataFrame(sc.parallelize([R('aaaaaaaaaaaaaaaaaaaaaaaa', 'bar')]))
> q.write.parquet('/tmp/1.parq')
> q = sqlc.read.parquet('/tmp/1.parq')
> j = r.join(q, r.id == q.id)
> print j.count()
> {code}
> {noformat}
> [user@sandbox test]$ spark-submit --executor-memory=32g /tmp/bug.py
> [user@sandbox test]$ hadoop fs -rmr /tmp/1.parq
> {noformat}
> {noformat}
> 15/11/04 04:28:38 INFO codegen.GenerateUnsafeProjection: Code generated in 119.90324 ms
> Traceback (most recent call last):
> File "/tmp/bug.py", line 13, in <module>
> print j.count()
> File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 268, in count
> File "/usr/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
> File "/usr/lib/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 36, in deco
> File "/usr/lib/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o148.count.
> : org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
> TungstenAggregate(key=[], functions=[(count(1),mode=Final,isDistinct=false)], output=[count#10L])
> TungstenExchange SinglePartition
> TungstenAggregate(key=[], functions=[(count(1),mode=Partial,isDistinct=false)], output=[currentCount#13L])
> TungstenProject
> BroadcastHashJoin [id#0], [id#8], BuildRight
> TungstenProject [id#0]
> Scan PhysicalRDD[id#0,foo#1]
> ConvertToUnsafe
> Scan ParquetRelation[hdfs:///tmp/1.parq][id#8]
> at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:49)
> at org.apache.spark.sql.execution.aggregate.TungstenAggregate.doExecute(TungstenAggregate.scala:69)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:140)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:138)
> at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:138)
> at org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:174)
> at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1385)
> at org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1385)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
> at org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1903)
> at org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1384)
> at org.apache.spark.sql.DataFrame.count(DataFrame.scala:1402)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
> at py4j.Gateway.invoke(Gateway.java:259)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:207)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
> Note this happens only under following condition:
> # executor memory >= 32GB (doesn't fail with up to 31 GB)
> # the ID in the q dataframe has exactly 24 chars (doesn't fail with less or more then 24 chars)
> # q is read from parquet
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